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Gemma 3n E2B Instructed vs Parse

Comparing Gemma 3n E2B Instructed and Parse across benchmarks, pricing, and capabilities.

Google · Cohere · Updated for 2026

Which is better?

Gemma 3n E2B Instructed and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 3n E2B Instructed

  • you are already invested in the Google ecosystem

Choose Parse

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Gemma 3n E2B Instructed
Google
Parse
Cohere
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
8,192

Individual benchmarks

18 reported for Gemma 3n E2B Instructed · 1 for Parse

No common benchmarks found

Gemma 3n E2B Instructed and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

5.7B diff

Gemma 3n E2B Instructed has 5.7B more parameters than Parse, making it 247.8% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Cohere
Parse
2.3Bparameters
8.0B
Gemma 3n E2B Instructed
2.3B
Parse

Context Window

Maximum input and output token capacity

Only Parse specifies input context (8,192 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 3n E2B Instructed and Parse support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3n E2B Instructed

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemma 3n E2B Instructed

Proprietary

Closed source

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while Parse was released on 2026-08-27.

Parse is 14 months newer than Gemma 3n E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

1.2 years ago

Parse

Aug 27, 2026

4 days ago

1.2yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while Parse's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Parse's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

Parse

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed and Parse side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Gemma 3n E2B Instructed vs Parse.

Which is better, Gemma 3n E2B Instructed or Parse?

Gemma 3n E2B Instructed (Google) and Parse (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 3n E2B Instructed compare to Parse in benchmarks?

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Gemma 3n E2B Instructed and Parse?

Gemma 3n E2B Instructed supports an unknown number of tokens and Parse supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Gemma 3n E2B Instructed and Parse?

Gemma 3n E2B Instructed is developed by Google and Parse is developed by Cohere.

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